Computer Vision Engineer
- glasgow, scotland, G1 1DA, United Kingdom
- Permanent·Hybrid
- Full time
- £72,000 - £72,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled Computer Vision Engineer to join their innovative R&D team in Glasgow . This hybrid role involves designing, developing, and deploying cutting-edge computer vision systems for a variety of applications, including image recognition, object detection, and video analysis. You will work with state-of-the-art algorithms and large-scale datasets to create intelligent visual solutions. The position offers a unique opportunity to contribute to projects that are at the forefront of AI & Emerging Technologies , collaborating with a talented team of engineers and researchers. We provide a stimulating work environment that fosters creativity, problem-solving, and technical excellence in the dynamic field of visual intelligence.
Key Responsibilities
- Develop and implement advanced computer vision algorithms for image and video analysis.
- Design and train deep learning models for tasks such as object detection, segmentation, and facial recognition.
- Optimize algorithms for real-time performance and deployment on various hardware platforms.
- Collaborate with software engineers to integrate computer vision modules into larger systems.
- Stay current with the latest research and advancements in the field of computer vision and machine learning.
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
- 2+ years of professional experience in computer vision and deep learning.
- Proficiency in Python and relevant libraries like OpenCV, TensorFlow, or PyTorch.
- Experience with image processing techniques and neural network architectures .
- Strong problem-solving skills and ability to work effectively in a team-oriented setting.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holiday allowance.
- Opportunities for professional development and training.
- A dynamic hybrid work environment supporting collaboration and flexibility.